The Looming Threat of Model Collapse: Lessons from Grok’s Snafu
Model collapse occurs when a machine learning model fails to generate diverse and meaningful outputs and instead produces repetitive or nonsensical results.
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Model collapse occurs when a machine learning model fails to generate diverse and meaningful outputs and instead produces repetitive or nonsensical results.